Which big data should I learn which is trending today in the worldwide and why? - Newsqusto - A Readers Choice

An Insightful blog covering the latest trends, news, and analysis. Explore timely articles on technology, business, lifestyle, and more.

Information News Article

Wednesday 1 November 2017

Which big data should I learn which is trending today in the worldwide and why?

In the advanced days of technology, big data is playing a significant role in storing the details and making it easy for the users to get the information secured and stored in a specific location safe. This helps them to keep their work updated and make it easy for them to work on the upcoming technology.


It is very important to grab the knowledge of big data and increase the knowledge in the technology field. There are many big data solution with which we are familiar an available for us. Hadoop, Spark, hive, cloud and many others are there with which we are familiar and have the great knowledge. There are number of big data aout which users can learn and enhance their knowledge.
Hadoop has been there for the users in the big data to provide them the assured knowledge and increase their tech ability. In terms of technology development, it comes with many features making it suitable for them to make it enterprise ready. It is applicable in many sectors and used for the security concern
Data generation is on increase and the application of IOT requires the users to have a perfect solution to manage the volume of data. Cloud can do this much better with the enhanced features and facilities which it provides to them.
All the companies have data and they are aware about how to process the data for their use. The focus is going to e on speed and processing capability of the big data. Many projects were developed with this aspect advancing from POCs to real world application.
RDBMS has been dominating the database for decades when structured data formed the major production of data in company. There is a huge volume of data being generated by the companies to get the data.

No comments:

Post a Comment